NUMBER THEORETIC ARCHITECTURES FOR ADAPTIVE DIGITAL FILTERS.

William Kenneth Jenkins; D. F. Marshall

NUMBER THEORETIC ARCHITECTURES FOR ADAPTIVE DIGITAL FILTERS.

William Kenneth Jenkins, D. F. Marshall

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Residue-number-system (RNS) concepts can be used to obtain digital filter architectures that have attractive features for VLSI implementation due to the modularity that results from the arithmetic. RNS concepts are also of interest for adaptive digital filters that require a considerable amount of computation to be implemented in real time. The authors present designs for an FIR adaptive filter based on the well-known least-mean-squares (LMS) adaptive algorithm. The first design is for the standard time-domain LMS algorithm. The second is for an LMS algorithm that incorporates the Walsh-Hadamard transform to improve convergence rates when the filter operates in a colored noise environment.

Original language	English (US)
Title of host publication	Conference Record - Asilomar Conference on Circuits, Systems & Computers
Publisher	IEEE
Pages	363-367
Number of pages	5
ISBN (Print)	0818608161
State	Published - Jan 1 1987

Publication series

Name	Conference Record - Asilomar Conference on Circuits, Systems & Computers
ISSN (Print)	0736-5861

All Science Journal Classification (ASJC) codes

Engineering(all)

Cite this

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title = "NUMBER THEORETIC ARCHITECTURES FOR ADAPTIVE DIGITAL FILTERS.",

abstract = "Residue-number-system (RNS) concepts can be used to obtain digital filter architectures that have attractive features for VLSI implementation due to the modularity that results from the arithmetic. RNS concepts are also of interest for adaptive digital filters that require a considerable amount of computation to be implemented in real time. The authors present designs for an FIR adaptive filter based on the well-known least-mean-squares (LMS) adaptive algorithm. The first design is for the standard time-domain LMS algorithm. The second is for an LMS algorithm that incorporates the Walsh-Hadamard transform to improve convergence rates when the filter operates in a colored noise environment.",

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N2 - Residue-number-system (RNS) concepts can be used to obtain digital filter architectures that have attractive features for VLSI implementation due to the modularity that results from the arithmetic. RNS concepts are also of interest for adaptive digital filters that require a considerable amount of computation to be implemented in real time. The authors present designs for an FIR adaptive filter based on the well-known least-mean-squares (LMS) adaptive algorithm. The first design is for the standard time-domain LMS algorithm. The second is for an LMS algorithm that incorporates the Walsh-Hadamard transform to improve convergence rates when the filter operates in a colored noise environment.

AB - Residue-number-system (RNS) concepts can be used to obtain digital filter architectures that have attractive features for VLSI implementation due to the modularity that results from the arithmetic. RNS concepts are also of interest for adaptive digital filters that require a considerable amount of computation to be implemented in real time. The authors present designs for an FIR adaptive filter based on the well-known least-mean-squares (LMS) adaptive algorithm. The first design is for the standard time-domain LMS algorithm. The second is for an LMS algorithm that incorporates the Walsh-Hadamard transform to improve convergence rates when the filter operates in a colored noise environment.

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NUMBER THEORETIC ARCHITECTURES FOR ADAPTIVE DIGITAL FILTERS.

Abstract

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All Science Journal Classification (ASJC) codes

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